OpenAI

Whisper Large v3 Turbo

Name: Whisper Large v3 Turbo
Brand: OpenAI
Price: 0.0009 USD
Availability: InStock

Whisper Large v3 Turbo is a fast, cost-efficient speech-to-text model optimized for real-time transcription and voice agent pipelines. Reach for it when you need accurate audio-to-text conversion with low latency and automatic language detection.

Modalities

Text → Text

Price

$0.0009 / min

Context

Usage

How much this model is actually called here.

Rank

#55

of 98 active models

Tokens served

677.3K

all-time

Platform share

0.0%

of all tokens

How it behaves under real clients

The same model answering different prompt shapes — measured, not benchmarked.

Client	Requests	Tokens	Throughput	To first token	p95 total	Completed
Pheme	19,043	0			0.53 s	100%
watch-cli	3,438	0			0.38 s	100%

Grouped by the client that sent the request. Not a benchmark: the same model on different prompt shapes. Throughput and time-to-first-token are medians; p95 is the slowest response in twenty. 4 clients under 100 requests not shown.

Two clocks, and why they disagree

Kyma measures this model twice. Both are real; they answer different questions.

Probe · every 6h · 30 days

1.15s to answer

One fixed prompt, on a schedule, to every model. Comparable, because the model is the only thing that changes.

Observations: 36,102
Answered by a substitute: 0

Real traffic · last 7 days

0.28s to answer

Your requests, at the lengths clients actually send. Not comparable between models, but it is what running this one feels like.

Requests: 8,988
Completed: 99.6%
p95: 0.6 s

Production prompts here are shorter than the probe's. Use the probe figure to choose between models, the traffic figure to budget for your own.

Pricing

Per minute of audio processed. Min billable: 1 minute.

$0.0009 / min

When to use Whisper Large v3 Turbo

Updated 2026-07-29

Where this model earns its cost — and where it doesn't.

This model converts audio input into text transcripts, operating at 228x real-time speed. It automatically detects the spoken language and returns transcripts with precise timestamps. The architecture is tuned for strong accuracy while maintaining a cheap cost tier.

On Kyma, it runs through an OpenAI-compatible endpoint with automatic request failover. If a serving path degrades, traffic reroutes transparently. The model supports prompt caching, which bills repeated prefixes at this model's cached input rate. Usage metadata, including exact request cost and the resolved model ID, is returned in the response headers and JSON payload.

The model accepts audio input and outputs plain text. It does not support vision, structured outputs, or reasoning tasks. The context window caps at 3,600 tokens, making it suitable for standard-length audio clips rather than multi-hour continuous streams without chunking.

Live Meeting Transcription

Converts conference audio into timestamped text for searchable meeting notes.

Voice Agent Pipelines

Feeds real-time speech recognition into conversational AI workflows with minimal latency.

Automated Caption Generation

Produces synchronized subtitles for video content with automatic language detection.

Audio Content Indexing

Transforms podcast and interview recordings into searchable text archives.

Not ideal for: Do not use this model for multi-hour continuous audio streams without manual chunking, as the 3,600-token context window will truncate longer inputs.

Quick start

Up and running in under two minutes.

1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit on the free tier, which covers Whisper Large v3 Turbo. No card required.
Get API key →

Make your first request

Drop in your key and send a chat completion — fully OpenAI-compatible.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "whisper-v3-turbo",
    "messages": [
      {"role": "user", "content": "Explain prompt caching in one paragraph."}
    ]
  }'

Stream responses

Add "stream": true to receive tokens as they arrive.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "whisper-v3-turbo",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

FAQ

Common questions about this model.

How much does Whisper Large v3 Turbo cost?

$0.0009 per min. Per minute of audio processed. Min billable: 1 minute.

How do I use Whisper Large v3 Turbo?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to whisper-v3-turbo. Signing up is free and includes $0.50 of credit on the free tier, which covers this model — no card required.

How does Kyma handle model routing for this endpoint?

Every request uses automatic failover; if the primary serving path degrades, Kyma reroutes the request transparently and reports the exact model that ran in the X-Kyma-Model header.

How is billing calculated for repeated audio prompts?

Prompt caching applies to repeated prefixes, billing them at this model's cached input rate.

Does this model support structured outputs or reasoning?

No. It is strictly a speech-to-text model that outputs plain text transcripts with timestamps. It does not support structured outputs, vision, or reasoning tasks.

Start with $0.50 free credit on the free tier — no card required.Create account →

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